Anomaly Detection System | Artificial Intelligence
Zeeshan Akram
This project was private, so I can't share too much information.
Performed Tasks:
Developed application and its architecture for anomaly detection with different ml and dl frameworks (scikit learn, apache-spark, tensorflow/keras and autokeras) with Python.
Developed Frontend for application in Streamlit.
Build machine learning and deep learning models.
Deployed application on GCP GKE and Cloud Run.
Build a CICD pipeline with GitHub, GCP Cloud Build and Scaffold for auto builds and deployments.
Perform data preprocessing, feature engineering and data analysis.
Build dashboards with Apache superset.
Like this project
Posted Jul 25, 2024
Developed an Anomaly Detection system for a US-based startup, detecting whether the insurance claim is fraudulent.
